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Solving Hard Variants of Database Schema Matching on Quantum Computers

Summary: End-to-end hybrid quantum–classical solution for NP-hard variants of database schema matching, partitioning matching instances into QPU-solvable subproblems coordinated by classical CPUs. Demo highlights QPU/CPU handover trade-offs, decomposition strategies and current QPU scale/noise limits. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13435
Venue
VLDB
Year
2023
Pagerank
5.2434488e-05
Overall Rank
9,630 | 33.93%
DOI
10.14778/3611540.3611603

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{fritsch_vldb23,
        title = {{Solving Hard Variants of Database Schema Matching on Quantum Computers}},
        author = {Fritsch, Kristin and Scherzinger, Stefanie},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {12},
        pages = {3990--3993},
        doi = {10.14778/3611540.3611603},
        url = {https://doi.org/10.14778/3611540.3611603},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
10,637 A Quantum-Leap into Schema Matching: Beyond 1-to-1 Matchings 2025 PODS 5.093636e-05
10,836 Quantum Data Management in the NISQ Era 2025 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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